This disclosure asks an organisation to report the greenhouse gas emissions linked to the electricity, heat, steam or cooling it buys and uses, rather than emissions it creates directly on site. In practice, it is about showing the climate impact of purchased energy in a way that is clear, consistent and based on the organisation’s reporting boundary.
The practical focus is usually on coverage across the organisation’s operations, not just a few flagship locations. Readers will want to understand whether the figure includes all relevant sites and activities, how the organisation has treated different energy sources, and whether the reporting approach is consistent from one period to the next.
This LRA educational guidance supports disclosure preparation. For the exact requirements, always refer to the official GRI source.
A quick mental checklist before you prepare this disclosure — tick each as you settle it.
Key datapoints to prepare
How to prepare it
Request the site electricity and emissions data from Operations
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own terms first, then map them to the reporting disclosure. For example, ask for site power, utility, and emissions calculation data in the language your teams already use, rather than using framework labels in the first ask.
Please provide the Scope 2 GHG emissions disclosure data, including location-based and market-based emissions, base year information, emission factors, GWPs, consolidation approach, and methodologies.
Why it fails: It uses framework language first, which may not match how the operational team stores or talks about the data. It also does not tell the owner what systems, sites, period, or supporting evidence to pull, so the response is likely to be incomplete or hard to use.
Please send the electricity and emissions figures your team already tracks for [reporting period] for [sites/business unit], plus the supporting export or workbook. Include the total emissions figure in tCO2e, any supplier-based figure if available, the gases included, base-year dates and rationale, any recalculation explanation, the factor source, the GWP source or reference, the boundary used, and the calculation notes/tools. Return it in your usual format and we will map it into the reporting pack.
Notes that turn data into a disclosure
LRA training templates — adapt them to your organisation, and check the official source before sign-off.
Set out the gases counted, the organisational boundary approach used, the emissions factors and warming values applied, the calculation method or tool relied on, and the dates and reason for the chosen comparison year.
Explain what the reported electricity-related emissions figures represent, including whether both accounting bases are relevant and how the chosen reference year and current period help readers interpret the result.
If the comparison year was revised, briefly explain the operational or methodological change that caused the restatement and how that affects the reported trend.
Preparation tools & forms
Professional preparation tools for GRI 305-2 — free with an LRA Community membership. Register once (it's free) and every download unlocks, together with the Disclosure Library, templates and the LRA AI-assistant.
For each claim, check the evidence
Evidence pack to prepare
Common reporting gaps
Mistakes to avoid when collecting the data
Where judgement is often needed
Illustrative examples
Synthetic, written by LRA — not from a company report, not text from any standard.
*Synthetic illustration only.* We have used a 1 January 2022 to 31 December 2022 base period, chosen because it was the first year with complete energy and emissions data after we expanded our reporting boundary. Our base-year emissions were 48,000 tCO2e; after a 2023 acquisition and a correction to electricity data, we recalculated that figure to 51,200 tCO2e, and the change was driven by the new sites and improved meter coverage. - For the current year, our location-based Scope 2 total was 22,400 tCO2e, and market-based reporting also applies for us; the market-based figure was 19,600 tCO2e. - We included carbon dioxide, methane, and nitrous oxide in the calculation, used emission factors from the UK Government conversion factors and supplier-specific electricity data where available, applied 100-year warming values from the IPCC assessment report, and calculated emissions on a financial-control basis using spreadsheet models with activity data from utility bills and meter reads.
This example shows how a reporter can explain the base year, any recalculation trigger, the gases counted, the factor sources, the warming-value source, the consolidation basis, and the methods/tools used, while also stating both Scope 2 totals and whether market-based reporting is relevant.
*Synthetic illustration only.* We set 1 July 2021 to 30 June 2022 as our base period because it aligned with the first year in which our store portfolio and leased offices were measured on a consistent basis. That base-year total was 12,300 tCO2e; following a 2024 restatement linked to lease boundary updates and corrected landlord electricity data, we revised it to 13,050 tCO2e. - Our current location-based Scope 2 emissions are 5,800 tCO2e, and market-based reporting is relevant for us; the market-based result is 4,900 tCO2e. - The calculation covered carbon dioxide and methane, drew on national grid factors plus contractual electricity information, used 100-year warming values from the latest IPCC report, applied an operational-control consolidation approach, and relied on an emissions workbook built from invoices, landlord statements, and site energy records.
This example demonstrates a second plausible reporter with a different base period, a different recalculation reason, and a different consolidation approach, while still covering the same required data points in narrative form.
How companies report GRI 305-2
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A group finance team has one UK office on a supplier-backed electricity contract and two leased sites on standard grid power. The sustainability lead has calculated 1,240 tCO2e using the location-based method, but the market-based figure is still being checked because one contract certificate is missing.
A preparer is updating the prior-year comparison after a site acquisition doubled electricity use mid-year. The base period was 1 January 2023 to 31 December 2023, and the original base-year total was 860 tCO2e; after the acquisition, the recalculated base-year figure is 1,030 tCO2e.
A reporting team has used a UK government grid factor for purchased electricity and a separate supplier-specific factor for one renewable tariff. Their draft note says only that 'standard conversion factors were applied', and it does not mention the warming values used for methane and nitrous oxide.
A multinational has emissions from subsidiaries that are fully controlled in some countries and proportionally shared in others. The team has calculated 4,500 tCO2e on one basis and 3,900 tCO2e on another, but the draft report does not say which consolidation approach was used or which calculation tools supported the result.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
Start with the datapoints listed on the page: location-based Scope 2 total, whether market-based Scope 2 applies, market-based Scope 2 total if relevant, gases included, base year dates and reason, base year emissions, recalculation context, emission factor source, GWP source, consolidation basis, and calculation method details. The page also gives a step-by-step preparation section to help you organise the work.
Use it as a practical checklist to move from raw emissions information to a draft disclosure. It is designed to help you prepare the data, set the scope and methodology, and get the disclosure into a report-ready shape.
The page is set up for practitioner use, so the right owner is whoever holds the emissions data, methodology details, and supporting evidence in your organisation. It is useful for sustainability/ESG managers, HR or data owners, and assurance reviewers to coordinate on the same workbook and evidence pack.
The page includes an evidence pack with five items to support assurance readiness, plus six assurance claims to verify. Use those together so you can show the source data, methodology, and supporting records behind the numbers.
The page says there are six assurance claims to verify, each with a claim, risk, and evidence prompt. Use them as a review checklist to test whether the disclosure is complete, consistent, and backed by evidence before it goes into the report.
The page lists common reporting gaps and mistakes so you can spot issues before drafting. Use that section to check for missing datapoints, weak methodology notes, or gaps between the figures and the evidence pack.
The page includes a draft-output section with visualisation ideas, narrative starters, and a GRI content-index line. That gives you a practical starting point for turning the prepared data into report text and a simple presentation of the numbers.
Yes, the page includes synthetic illustrative example disclosures, including a quantitative data table. They are there to show how the disclosure can look in practice, but they are clearly illustrative rather than real company data.
The Download Centre includes a Prep & Assurance workbook in .xlsx format and a printable Library Card in .pdf format. Use the workbook to organise the datapoints, methodology, and evidence needed to build a draft and support assurance.
The Download Centre provides a printable Library Card in PDF format alongside the workbook. It is there as a quick reference for the disclosure page content, so you can keep the key preparation points and evidence prompts to hand.
The page notes ESRS E1 (Climate Change) as the closest correspondence, so the data may be reusable across both contexts. It does not say the requirements are identical, so you should still check the other framework’s own needs before relying on the same dataset.
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